Oil tank leakage monitoring and alarming system and method based on big data

Abstract

The invention discloses an oil tank leakage monitoring and alarming system and method based on big data. The oil tank leakage monitoring and alarming system based on big data comprises an acquisitionmodule, a setting module, a data cleaning module, a calculation module and an alarming module. Oil tank depot operating data are obtained; according to the actual scale of the oil tank reservoir area,fixed parameters and alarm parameters of each oil tank are flexibly set; the data cleaning module is used for performing unified data rule conversion and interface management; the loss rates of the oil storage moment, the oil inlet moment and the oil outlet moment are calculated respectively; whether a leakage abnormal moment point and all consumption trends exist or not is determined, and alarmjudgment is carried out; and meanwhile, data are dynamically updated, and different early warning levels are given in combination with the leakage emergency degree to send early warning information. Therefore, the dynamism, real-time performance, scientificity and intelligence of oil tank leakage monitoring and warning are realized, leakage events are effectively avoided, and the cost of oil lossis reduced.

Description

technical field [0001] The invention relates to the technical field of inventory detection, analysis and early warning, in particular to a big data-based oil tank leakage monitoring and warning system and method. Background technique [0002] Big data analysis refers to the analysis of huge data. Big data can be summarized as 5 Vs, large data volume (Volume), fast speed (Velocity), multiple types (Variety), value (Value), and authenticity (Veracity). Big data is the hottest vocabulary in the IT industry nowadays , The ensuing data warehouse, data security, data analysis, data mining, etc. have gradually become the focus of industry value around the use of the value of big data. With the advent of the era of big data, big data analysis also came into being. [0003] The Internet of Things (IoT) is a new generation of information technology. It uses communication technologies such as local networks or the Internet to connect sensors, controllers, machines, people and thing...

AI Technical Summary

Problems solved by technology

[0004] At present, whether there is abnormal leakage monitoring and early warning in oil tank storage is generally determined by inspectors based on liquid level instrument inventory monitoring and manual experience to determine the occurrence of a large number of leaks, but there is no way to analyze and check the leakage and dripping of oil tanks.

In terms of safety, automation and monitoring and monitoring facilities are still incomplete, the level of monitoring and early warning information is low, safety supervision and management are difficult, and accident early warning capabilities are increasingly prominent, which increases the cost of oil loss and cannot avoid the occurrence of leakage incidents

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